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ORCID6th KDD 2000: Boston, MA, USA
- Raghu Ramakrishnan, Salvatore J. Stolfo, Roberto J. Bayardo, Ismail Parsa:
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, August 20-23, 2000. ACM 2000, ISBN 1-58113-233-6 - Christos H. Papadimitriou:
On certain rigorous approaches to data mining (invited talk, abstract only). 2 - Bruce G. Buchanan:
Informed knowledge discovery: using prior knowledge in discovery programs (invited talk, abstract only). 3 - Jason Catlett:
Among those dark electronic mills: privacy and data mining (invited talk, abstract only). 4 - James Goodnight:
Decision support in the booming e-world (invited talk, abstract only). 5 - Matt Cutler:
E-metrics: tomorrow's business metrics today (invited talk, abstract only). 6 - David Stodder:
After the gold rush (invited talk, abstract only): data mining in the new economy (invited talk, abstract only). 7 - Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers:
Hancock: a language for extracting signatures from data streams. 9-17 - Tony Fountain, Thomas G. Dietterich, Bill Sudyka:
Mining IC test data to optimize VLSI testing. 18-25
Constraints and Evaluation in the KDD Process
- Douglas A. Talbert, Douglas H. Fisher:
An empirical analysis of techniques for constructing and searching k-dimensional trees. 26-33 - Mohammed Javeed Zaki:
Generating non-redundant association rules. 34-43 - Ted E. Senator:
Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation's Advanced Detection System (RADS). 44-53 - Balaji Padmanabhan, Alexander Tuzhilin
:
Small is beautiful: discovering the minimal set of unexpected patterns. 54-63
New KDD Algorithms
- Glenn Fung, Olvi L. Mangasarian:
Data selection for support vector machine classifiers. 64-70 - Pedro M. Domingos, Geoff Hulten:
Mining high-speed data streams. 71-80 - Xianping Ge, Padhraic Smyth:
Deformable Markov model templates for time-series pattern matching. 81-90 - Vijay S. Iyengar, Chidanand Apté, Tong Zhang:
Active learning using adaptive resampling. 91-98
Efficiency and Scalability of KDD Algorithms
- Geoffrey I. Webb:
Efficient search for association rules. 99-107 - Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad:
Depth first generation of long patterns. 108-118 - Charu C. Aggarwal, Philip S. Yu:
The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. 119-129 - Volker Tresp:
The generalized Bayesian committee machine. 130-139
Mining the Web
- Igor V. Cadez, Scott Gaffney, Padhraic Smyth:
A general probabilistic framework for clustering individuals and objects. 140-149 - Gary William Flake, Steve Lawrence, C. Lee Giles:
Efficient identification of Web communities. 150-160 - Heikki Mannila, Christopher Meek:
Global partial orders from sequential data. 161-168 - Andrew McCallum, Kamal Nigam, Lyle H. Ungar:
Efficient clustering of high-dimensional data sets with application to reference matching. 169-178
Interactive Knowledge Exploration
- Mihael Ankerst, Martin Ester, Hans-Peter Kriegel:
Towards an effective cooperation of the user and the computer for classification. 179-188 - Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Yonatan Schler, Jonathan Stoppi:
A framework for specifying explicit bias for revision of approximate information extraction rules. 189-197 - Chris Drummond, Robert C. Holte:
Explicitly representing expected cost: an alternative to ROC representation. 198-207 - Bing Liu, Minqing Hu, Wynne Hsu:
Multi-level organization and summarization of the discovered rules. 208-217
Visualization
- Andrew W. Crapo, Laurie B. Waisel, William A. Wallace, Thomas R. Willemain:
Visualization and the process of modeling: a cognitive-theoretic view. 218-226 - Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm:
Visualizing association rules with interactive mosaic plots. 227-235 - Li Yang:
Interactive exploration of very large relational datasets through 3D dynamic projections. 236-243 - Jianchao Han, Nick Cercone:
RuleViz: a model for visualizing knowledge discovery process. 244-253 - William W. Cohen, Henry A. Kautz, David A. McAllester:
Hardening soft information sources. 255-259 - Daniel Barbará, Ping Chen:
Using the fractal dimension to cluster datasets. 260-264 - Ke Wang, Senqiang Zhou, Yu He:
Growing decision trees on support-less association rules. 265-269 - Wei Wang, Jiong Yang, Philip S. Yu:
Efficient mining of weighted association rules (WAR). 270-274 - Jiong Yang, Wei Wang, Philip S. Yu:
Mining asynchronous periodic patterns in time series data. 275-279 - Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White:
Visualization of navigation patterns on a Web site using model-based clustering. 280-284 - Eamonn J. Keogh, Michael J. Pazzani:
Scaling up dynamic time warping for datamining applications. 285-289 - Mong-Li Lee, Tok Wang Ling, Wai Lup Low:
IntelliClean: a knowledge-based intelligent data cleaner. 290-294 - Dmitry Pavlov, Darya Chudova, Padhraic Smyth:
Towards scalable support vector machines using squashing. 295-299 - Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. 300-304 - Jason Tsong-Li Wang, Qicheng Ma, Dennis E. Shasha, Cathy H. Wu:
Application of neural networks to biological data mining: a case study in protein sequence classification. 305-309 - Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao:
Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. 310-314 - Stephen D. Bay:
Multivariate discretization of continuous variables for set mining. 315-319 - Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne:
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. 320-324 - Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
Unsupervised Bayesian visualization of high-dimensional data. 325-329 - Tobias Scheffer, Stefan Wrobel:
A sequential sampling algorithm for a general class of utility criteria. 330-334 - Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim:
Efficient algorithms for constructing decision trees with constraints. 335-339 - Jeonghee Yi, Neel Sundaresan:
A classifier for semi-structured documents. 340-344 - Dennis DeCoste, Kiri Wagstaff:
Alpha seeding for support vector machines. 345-349 - Jian Pei, Jiawei Han:
Can we push more constraints into frequent pattern mining? 350-354 - Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
FreeSpan: frequent pattern-projected sequential pattern mining. 355-359 - Jennifer G. Dy, Carla E. Brodley:
Visualization and interactive feature selection for unsupervised data. 360-364 - YongSeog Kim, W. Nick Street, Filippo Menczer:
Feature selection in unsupervised learning via evolutionary search. 365-369 - Alfred Inselberg, Tova Avidan:
Classification and visualization for high-dimensional data. 370-374
Applications
- Mike Gardner, Jack Bieker:
Data mining solves tough semiconductor manufacturing problems. 376-383 - Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe:
Genome scale prediction of protein functional class from sequence using data mining. 384-389 - José M. Peña, Fazel Famili, Sylvain Létourneau:
Data mining to detect abnormal behavior in aerospace data. 390-397 - Wendy Gersten, Rüdiger Wirth, Dirk Arndt:
Predictive modeling in automotive direct marketing: tools, experiences and open issues. 398-406
Text Mining and Data Preparation
- Doug Beeferman, Adam L. Berger:
Agglomerative clustering of a search engine query log. 407-416 - Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman:
Textual data mining of service center call records. 417-423 - Jonathan D. Becher, Pavel Berkhin, Edmund Freeman:
Automating exploratory data analysis for efficient data mining. 424-429 - Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling:
Exploration mining in diabetic patients databases: findings and conclusions. 430-436
Targeting Prospects
- Brendan Kitts, David Freed, Martin Vrieze:
Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities. 437-446 - Paul B. Chou, Edna Grossman, Dimitrios Gunopulos, Pasumarti Kamesam:
Identifying prospective customers. 447-456 - Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee:
Targeting the right students using data mining. 457-464 - Siddhartha Bhattacharyya:
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing. 465-473
E-Commerce and Temporal Data
- Ayman Farahat:
Hybrid Poisson process. 474-479 - Anjali Dhond, Amar Gupta, Sanjeev Vadhavkar:
Data mining techniques for optimizing inventories for electronic commerce. 480-486 - Martin Gavrilov, Dragomir Anguelov, Piotr Indyk, Rajeev Motwani:
Mining the stock market (extended abstract): which measure is best? 487-496 - Juan Pedro Caraça-Valente, Ignacio Lopez-Chavarrias:
Discovering similar patterns in time series. 497-505
Telephony/ISP Applications
- Nandini Raghavan, Robert M. Bell, Matthias Schonlau:
Defection detection: using activity profiles to predict ISP customer vulnerability. 506-515 - Fei Chen, Diane Lambert, José C. Pinheiro:
Incremental quantile estimation for massive tracking. 516-522 - Rónán Páircéir, Sally I. McClean, Bryan W. Scotney:
Discovery of multi-level rules and exceptions from a distributed database. 523-532 - Ron Kohavi, Myra Spiliopoulou, Jaideep Srivastava:
Web mining for e-commerce (workshop session - title only). 534 - Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic:
Distributed and parallel knowledge discovery (workshop session - title only). 534 - Simeon J. Simoff, Osmar R. Zaïane:
Multimedia data mining (workshop session - title only). 534 - Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
Text mining (workshop session - title only). 534
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